fix submission info

app.py

@@ -297,104 +297,105 @@ with demo:
             gr.Markdown(FAQ_TEXT, elem_classes="markdown-text")
 
         # with gr.TabItem("🚀 Submit here! ", elem_id="llm-benchmark-tab-table", id=3):
-        #     with gr.Column():
-        #         with gr.Row():
-        #             gr.Markdown(EVALUATION_QUEUE_TEXT, elem_classes="markdown-text")
-
-        #         with gr.Column():
-        #             with gr.Accordion(
-        #                 f"✅ Finished Evaluations ({len(finished_eval_queue_df)})",
-        #                 open=False,
-        #             ):
-        #                 with gr.Row():
-        #                     finished_eval_table = gr.components.Dataframe(
-        #                         value=finished_eval_queue_df,
-        #                         headers=EVAL_COLS,
-        #                         datatype=EVAL_TYPES,
-        #                         row_count=5,
-        #                     )
-        #             with gr.Accordion(
-        #                 f"🔄 Running Evaluation Queue ({len(running_eval_queue_df)})",
-        #                 open=False,
-        #             ):
-        #                 with gr.Row():
-        #                     running_eval_table = gr.components.Dataframe(
-        #                         value=running_eval_queue_df,
-        #                         headers=EVAL_COLS,
-        #                         datatype=EVAL_TYPES,
-        #                         row_count=5,
-        #                     )
-
-        #             with gr.Accordion(
-        #                 f"⏳ Pending Evaluation Queue ({len(pending_eval_queue_df)})",
-        #                 open=False,
-        #             ):
-        #                 with gr.Row():
-        #                     pending_eval_table = gr.components.Dataframe(
-        #                         value=pending_eval_queue_df,
-        #                         headers=EVAL_COLS,
-        #                         datatype=EVAL_TYPES,
-        #                         row_count=5,
-        #                     )
-        #             with gr.Accordion(
-        #                 f"❌ Failed Evaluations ({len(failed_eval_queue_df)})",
-        #                 open=False,
-        #             ):
-        #                 with gr.Row():
-        #                     pending_eval_table = gr.components.Dataframe(
-        #                         value=failed_eval_queue_df,
-        #                         headers=EVAL_COLS,
-        #                         datatype=EVAL_TYPES,
-        #                         row_count=5,
-        #                     )
-        #     with gr.Row():
-        #         gr.Markdown("# ✉️✨ Submit your model here!", elem_classes="markdown-text")
-
-        #     with gr.Row():
-        #         with gr.Column():
-        #             model_name_textbox = gr.Textbox(label="Model name")
-        #             revision_name_textbox = gr.Textbox(label="Revision commit", placeholder="main")
-        #             private = gr.Checkbox(False, label="Private", visible=not IS_PUBLIC)
-        #             model_type = gr.Dropdown(
-        #                 choices=[t.to_str(" : ") for t in ModelType if t != ModelType.Unknown],
-        #                 label="Model type",
-        #                 multiselect=False,
-        #                 value=ModelType.FT.to_str(" : "),
-        #                 interactive=True,
-        #             )
-
-        #         with gr.Column():
-        #             precision = gr.Dropdown(
-        #                 choices=[i.value.name for i in Precision if i != Precision.Unknown],
-        #                 label="Precision",
-        #                 multiselect=False,
-        #                 value="float16",
-        #                 interactive=True,
-        #             )
-        #             weight_type = gr.Dropdown(
-        #                 choices=[i.value.name for i in WeightType],
-        #                 label="Weights type",
-        #                 multiselect=False,
-        #                 value="Original",
-        #                 interactive=True,
-        #             )
-        #             base_model_name_textbox = gr.Textbox(label="Base model (for delta or adapter weights)")
-
-        #     submit_button = gr.Button("Submit Evalulation!")
-        #     submission_result = gr.Markdown()
-        #     submit_button.click(
-        #         add_new_eval,
-        #         [
-        #             model_name_textbox,
-        #             base_model_name_textbox,
-        #             revision_name_textbox,
-        #             precision,
-        #             private,
-        #             weight_type,
-        #             model_type,
-        #         ],
-        #         submission_result,
-        #     )
+        with gr.TabItem("Submission Info", elem_id="llm-benchmark-tab-table", id=3):
+            with gr.Column():
+                with gr.Row():
+                    gr.Markdown(EVALUATION_QUEUE_TEXT, elem_classes="markdown-text")
+
+                with gr.Column():
+                    with gr.Accordion(
+                        f"✅ Finished Evaluations ({len(finished_eval_queue_df)})",
+                        open=False,
+                    ):
+                        with gr.Row():
+                            finished_eval_table = gr.components.Dataframe(
+                                value=finished_eval_queue_df,
+                                headers=EVAL_COLS,
+                                datatype=EVAL_TYPES,
+                                row_count=5,
+                            )
+                    with gr.Accordion(
+                        f"🔄 Running Evaluation Queue ({len(running_eval_queue_df)})",
+                        open=False,
+                    ):
+                        with gr.Row():
+                            running_eval_table = gr.components.Dataframe(
+                                value=running_eval_queue_df,
+                                headers=EVAL_COLS,
+                                datatype=EVAL_TYPES,
+                                row_count=5,
+                            )
+
+                    with gr.Accordion(
+                        f"⏳ Pending Evaluation Queue ({len(pending_eval_queue_df)})",
+                        open=False,
+                    ):
+                        with gr.Row():
+                            pending_eval_table = gr.components.Dataframe(
+                                value=pending_eval_queue_df,
+                                headers=EVAL_COLS,
+                                datatype=EVAL_TYPES,
+                                row_count=5,
+                            )
+                    with gr.Accordion(
+                        f"❌ Failed Evaluations ({len(failed_eval_queue_df)})",
+                        open=False,
+                    ):
+                        with gr.Row():
+                            pending_eval_table = gr.components.Dataframe(
+                                value=failed_eval_queue_df,
+                                headers=EVAL_COLS,
+                                datatype=EVAL_TYPES,
+                                row_count=5,
+                            )
+            # with gr.Row():
+            #     gr.Markdown("# ✉️✨ Submit your model here!", elem_classes="markdown-text")
+
+            # with gr.Row():
+            #     with gr.Column():
+            #         model_name_textbox = gr.Textbox(label="Model name")
+            #         revision_name_textbox = gr.Textbox(label="Revision commit", placeholder="main")
+            #         private = gr.Checkbox(False, label="Private", visible=not IS_PUBLIC)
+            #         model_type = gr.Dropdown(
+            #             choices=[t.to_str(" : ") for t in ModelType if t != ModelType.Unknown],
+            #             label="Model type",
+            #             multiselect=False,
+            #             value=ModelType.FT.to_str(" : "),
+            #             interactive=True,
+            #         )
+
+            #     with gr.Column():
+            #         precision = gr.Dropdown(
+            #             choices=[i.value.name for i in Precision if i != Precision.Unknown],
+            #             label="Precision",
+            #             multiselect=False,
+            #             value="float16",
+            #             interactive=True,
+            #         )
+            #         weight_type = gr.Dropdown(
+            #             choices=[i.value.name for i in WeightType],
+            #             label="Weights type",
+            #             multiselect=False,
+            #             value="Original",
+            #             interactive=True,
+            #         )
+            #         base_model_name_textbox = gr.Textbox(label="Base model (for delta or adapter weights)")
+
+            # submit_button = gr.Button("Submit Evalulation!")
+            # submission_result = gr.Markdown()
+            # submit_button.click(
+            #     add_new_eval,
+            #     [
+            #         model_name_textbox,
+            #         base_model_name_textbox,
+            #         revision_name_textbox,
+            #         precision,
+            #         private,
+            #         weight_type,
+            #         model_type,
+            #     ],
+            #     submission_result,
+            # )
 
     with gr.Row():
         with gr.Accordion("📙 Citation", open=False):